Fitting a Power Law: Comparing the Degree Distribution of a Synthetic Network to a Collected One

Note: All the code for this project (Python) can be found, along with the graphs embedded in the blog on my Github repository. The code is licensed under Apache 2.0 so you’re free to use it for commercial purposes. My GitHub repo is here.

Introduction

Network science has grown in popularity in the last few decades, especially with the ubiquity of social media platforms and the internet in general. However, much remains to be explored and discovered in relation to the processes by which networks form, the underlying social forces that underpin their formation, and thus the statistical distributions formed by those social forces.

In this semi-formal blog/paper I [...]

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